Data Engineer (Azure)

TL;DR

Data Engineer (Azure/Databricks): Designing and developing fault-tolerant data pipelines and integration solutions with an accent on Big Data platforms and ETL processes. Focus on building robust logging mechanisms, implementing REST-oriented APIs, and ensuring the reliability of BI platforms.

Company

hirify.global is an innovative company providing professional data and technology services.

What you will do

• Design, develop, and test new data applications and maintain existing components.
• Implement fault-tolerant data pipelines with robust logging and error-handling mechanisms.
• Build data integration solutions using ETL tools and REST-oriented APIs.
• Maintain the quality and reliability of Big Data and BI platforms through preventive technical actions.
• Collaborate with multidisciplinary teams to ensure alignment with project milestones and technical excellence.

Requirements

• Degree in Computer Science or a similar field.
• Minimum of 3 years of experience with Microsoft Data technologies.
• Solid experience in Big Data environments, specifically with Databricks, Python, and Spark.
• Proficiency in programming languages such as Python, SQL, or Scala.
• English: Fluency in written and spoken English required

Nice to have

• Knowledge of Azure components (Data Lake Gen2, Data Factory v2) and DevOps tools.
• Previous experience with Power BI, SSAS, or T-SQL.